Business Plan
The business case for PitchPad
PitchPad turns a driveway walk-through into a signed proposal before the truck pulls away. The customer is the owner-operator in cleaning, painting, pest, or lawn care running $250K to $1.5M in annual revenue. The timing is right because trade-pub CPMs have compressed four to eight times year-over-year and on-device LLM latency has crossed the threshold field operators tolerate at the curb.
The numbers at a glance
| Metric | Value | Source |
|---|---|---|
| Capital ask | $132,000 | Bottom-up build [1] |
| Target MRR (month 18) | $4,900 | Central case [2] |
| Blended ACV | $79/mo | Founding tier [3] |
| CAC central case | $3,200 | Trade-pub + association blend [4] |
| Monthly churn central | 4.0% | B2B field-software SMB band [5] |
| LTV | $1,975 | ACV × gross / churn [6] |
| Gross margin | 85% | Modeled [7] |
[1] $72K eng + $24K GTM + $12K infra + $9K legal + $15K reserve. [2] 62 paying operators at $79/mo blended. [3] Limited to first 100. [4] 60/40 trade-pub / association weight. [5] Jobber + Housecall Pro investor briefings 2024–2025. [6] $79 × 0.85 / 0.04 weighted up for Crew tier. [7] Inference + hosting + processing.
The Problem
Owner-operators in residential field services lose an estimated thirty to fifty percent of warm leads to slow follow-up after on-site walk-throughs. The walk-through is the moment of highest customer intent — the homeowner has organized their day, the operator has earned trust by showing up — but the existing software stack ends the visit with a promise to email a quote later. By the time the quote lands, the homeowner has moved on, called a competitor, or simply lost interest. That gap between intent and proposal is the single largest source of revenue leakage in the category.
In dollars: a one-truck cleaning operator running $400K of annual revenue at a 35% on-porch close rate is leaving roughly $150K of warm-lead revenue on the table per year. Across the SAM of ~176,000 US owner-operators in the four launch categories, the aggregate loss is north of fifteen billion dollars annually. That number is the wedge.
Target Customer
Owner-operators in cleaning, painting, pest, and lawn-care services running between $250K and $1.5M in annual revenue, with one to four trucks. The operator does the walk-through personally. They are mobile-first (the truck is the office), they read trade publications and belong to at least one association in their category, and they have been burned at least once by a software vendor who promised the dispatcher's desk would solve their close-rate problem.
Explicit exclusions: national franchises with dispatch desks and CRM teams; operators who only sell over the phone or only quote from drone imagery; pure e-commerce or product-only sellers; operators who already run ServiceTitan in production (the migration cost outweighs the wedge).
Solution
Three flows, all in one continuous field motion. Walk and capture: voice-first measurement and photo capture so the operator keeps both hands on the job. Price in front of the customer: the operator's own rate card consulted in real time, with line-level overrides and category-specific add-ons. Close at the curb: e-signature on the operator's phone, Apple Pay or card deposit, calendar hold delivered to the homeowner's inbox before the truck pulls away. Pricing under test: Founding tier $79/month/operator (first 100 only, locked for life), Crew tier $129/month/truck, Annual $790/year per operator.
Why we win
- Distribution moat at founding. Trade-pub CPM compression and association-channel partnerships across the four categories are the founding-stage moat. The first-100 founding-operator program is a distribution wedge competitors cannot copy without rebuilding their GTM.
- Field-first design. Every product decision is judged against "does this work on a windy driveway in two minutes". Competitors judge against "does this work on a thirty-inch monitor".
- Concierge onboarding builds switching cost. One week in the truck per operator yields a rate card no competitor can replicate without the same labor commitment.
- Voice walk-through data flywheel. Each walk-through emits structured training data tagged by category, geography, and operator. After 10,000 walk-throughs the category-specific prompt library is hard to clone in under a year.
Honest risks
- Category-leader parity. ServiceTitan or Housecall Pro could ship a porch-close mode within two quarters. The mitigation is speed: 100 operators on the founding cohort before competitor parity, and per-category voice-prompt depth as a switching cost.
- Voice accuracy on a windy driveway. The on-device LLM may fall below the 85% accuracy threshold operators tolerate without manual cleanup. The mitigation is a Whisper-server fallback for low-confidence utterances and concierge prompt tuning per operator.
- Stripe underwriting in home-services. Deposit chargebacks in the category have elevated risk; Stripe may require a carve-out that caps deposit percentages. The mitigation is pre-flighting the conversation before founding-cohort onboard.
- Trade-pub CPM reversal. If the category leaders return to paid acquisition, CPM compression reverses. The mitigation is diversifying into association-channel partnerships and building the founding-operator referral loop as a third leg.
Financials at a glance
Investment needed: $132,000. Time to MRR breakeven: month 24 in the central case, month 19 with a tier-mix shift to Crew at the 50-operator mark. Target month-18 MRR: $4,900. Blended ACV $79/mo. CAC central case $3,200. Monthly churn central case 4.0%. Gross margin 85%. Full unit economics, CAC × churn sensitivity, monthly cashflow strip, and the five-row risk register live on the investor brief financial-model tab.
Looking for
A founding operator-partner who has run a service business in cleaning, painting, pest, or lawn care at the $250K–$1.5M revenue band, knows the trade-association and pub channels by name, and wants to co-own the GTM motion. Ten-plus years in the field, prior software exposure (does not need to be a developer), and patience for a six-month design-partner cohort before scale.